Analytics Engineer - AI Trainer
Job Description
DataAnnotation is seeking an Analytics Engineer - AI Trainer for a remote role anchored in Lincoln, Nebraska, with a flexible schedule and a focus on evaluating AI-generated quantitative work to shape AI models for quantitative reasoning. This position blends hands-on analysis with clear documentation, contributing to the development of AI systems that reason about data.
Responsibilities
- Assess AI-produced quantitative outputs for technical accuracy and practical validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
- Design and tackle quantitative tasks used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
- Produce clear technical explanations and maintain well-documented analytical code.
- Provide actionable feedback that helps shape the next generation of AI models built for quantitative reasoning.
Requirements
- 2+ years of hands-on experience in a quantitative role or research environment such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
- Some coding experience with comfort writing and reviewing analytical code end-to-end.
- Practical experience with statistical methods, predictive modeling, and experimental design including A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
- Fluency in English with strong writing skills.
- A bachelor’s degree in a quantitative field is preferred; a master’s or PhD is a plus.
- Relevant credentials such as Kaggle rankings or AWS/GCP ML certifications are a plus.
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: choose projects and set your own hours.
- Competitive pay: projects are paid hourly, with rates listed from $50 to $100 per hour; higher-paying opportunities may be available for strong performers.
- Impact: contribute to shaping AI systems designed to reason about data and analytics.
Note
Payment is made via PayPal. We will never ask for money from you. This role is open to residents of the US, Canada, UK, Ireland, Australia, and New Zealand.